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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Other ORP type . 2021
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Other ORP type . 2021
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Other ORP type . 2021
Data sources: ZENODO
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3 PDF 3D reconstructions from Caimi A, Pasquali M, Sturla F, Pluchinotta FR, Giugno L, Carminati M, Redaelli A, Votta E. Prediction of post-stenting biomechanics in coarcted aortas: A pilot finite element study. J Biomech. 2020 May 22;105:109796. doi: 10.1016/j.jbiomech.2020.109796. Epub 2020 Apr 21. PMID: 32423542.

Authors: Alessandro Caimi; Matteo Pasquali; Francesco Sturla; Francesca R Pluchinotta; Luca Giugno; Mario Carminati; Alberto Redaelli; +1 Authors

3 PDF 3D reconstructions from Caimi A, Pasquali M, Sturla F, Pluchinotta FR, Giugno L, Carminati M, Redaelli A, Votta E. Prediction of post-stenting biomechanics in coarcted aortas: A pilot finite element study. J Biomech. 2020 May 22;105:109796. doi: 10.1016/j.jbiomech.2020.109796. Epub 2020 Apr 21. PMID: 32423542.

Abstract

3D reconstructions from the article Caimi A, Pasquali M, Sturla F, Pluchinotta FR, Giugno L, Carminati M, Redaelli A, Votta E. Prediction of post-stenting biomechanics in coarcted aortas: A pilot finite element study. J Biomech. 2020 May 22;105:109796. doi: 10.1016/j.jbiomech.2020.109796. Epub 2020 Apr 21. PMID: 32423542. This is the abstract: Endovascular stenting has recently become a standard treatment for native coarctation of the aorta (CoA) in children and young adults, given the efficacy in relieving vessel obstruction with a low incidence of adverse events. Yet, despite the short-term success of the technique, late hypertension remains an endemic risk. To assess the impact of the percutaneous procedure on the aortic wall biomechanics, we designed a novel finite element (FE) protocol for the simulation of endovascular stenting in three patient-specific CoA anatomies, developing a remeshing procedure that allows for coping with different CoA severities. Our FE protocol was able to yield numerical results on stent distortions and stresses, as well as on changes in aortic wall stresses and distensibility. These results were consistent with intraprocedural in-vivo evidences and with previous findings from the literature, and they suggest that our numerical approach could be used to understand the role of patient specific anatomical features (CoA severity and arch type) on the post-stenting aortic biomechanics. If soundly validated on a vast cohort of patients, our approach could support patient selection for the procedure.

Keywords

Aortic coarctation, Patient-specific modeling, Transcatheter endovascular stenting, Finite element modeling

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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